Computational training and load distribution system and related method
The system distributes computational loads among diverse devices, offering fair and transparent rewards for shared resources, addressing access and infrastructure limitations, and ensuring predictable task completion and security.
Patent Information
- Application Number
- PCT/IB2025/062152
- Authority / Receiving Office
- WO · WO
- Patent Type
- Applications
- Current Assignee / Owner
- Priority Date
- 2024-12-02
- Filing Date
- 2025-11-27
- Publication Date
- 2026-06-11
AI Technical Summary
Existing computational load distribution systems are tied to specific hardware devices, often requiring complex and expensive infrastructure, limiting access to computing resources for small businesses and researchers, and lack transparency and predictability in load distribution, making it difficult to trace and reward legitimate computational contributions.
A system that distributes computational loads among a network of devices, including portable devices, using a reward mechanism that incentivizes users to share unused resources through gamification and staking, ensuring fair and transparent token distribution based on computing power and training contributions, with monitoring to ensure task completion and security.
Democratizes access to computing power by transforming everyday devices into a global network, providing fair and transparent rewards, ensuring predictable load distribution, and promoting a collaborative ecosystem for training artificial intelligences.